A network embedding-based multiple information integration method for the MiRNA-disease association prediction

BMC Bioinformatics

Table 2 Performances of NEMII on datasets with fewer associations

Ratio	AUPR	AUC	F1	ACC	REC	SPEC	PRE
0%	0.6104 ± 0.0012	0.9293 ± 0.0017	0.6147 ± 0.0025	0.9956 ± 0.0001	0.4893 ± 0.0060	0.9993 ± 0.0001	0.8289 ± 0.0164
10%	0.6001 ± 0.0018	0.9276 ± 0.0011	0.6045 ± 0.0037	0.9969 ± 0.0001	0.4811 ± 0.0051	0.9993 ± 0.0001	0.8176 ± 0.0168
20%	0.5956 ± 0.0030	0.9266 ± 0.0014	0.6036 ± 0.0040	0.9965 ± 0.0000	0.4738 ± 0.0091	0.9995 ± 0.0001	0.8354 ± 0.0169
30%	0.5863 ± 0.0026	0.9255 ± 0.0010	0.5946 ± 0.0036	0.9960 ± 0.0001	0.4620 ± 0.0074	0.9995 ± 0.0001	0.8390 ± 0.0290

ISSN: 1471-2105